Forum Discussion
BloodBorne
2 years agoFrequent Visitor
Counting Subscription Users
Hi All, Thanks for your help in advance. This is my dataset below Customer ID Customer Registration Date Customer Subscription Date Customer Expiration Date 1 01/05/2024 01/05/202...
- Anonymous2 years ago
Hi BloodBorne ,
According to your description, here are my steps you can follow as a solution.
(1) My test data is the same as yours.
(2) We can create a DateSlicer Table.
DateSlicer = CALENDAR(MIN('Table'[Customer Expiration Date]),MAX('Table'[Customer Expiration Date]))(3) We can create a measure.
Count = var _a= COUNTROWS(FILTER(ALLSELECTED('Table'),'Table'[Customer Expiration Date]>=MIN('DateSlicer'[Date]))) var _b= COUNTROWS(FILTER(ALLSELECTED('Table'),[Customer Expiration Date]=BLANK())) RETURN _a+_b(3) Then the result is as follows.
Best Regards,
Neeko Tang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
- Anonymous2 years ago
Hi BloodBorne ,
We can update the DateSlicer table.
DateSlicer = ADDCOLUMNS( CALENDAR(DATE(2024,1,1),DATE(2025,12,31)),"Year",YEAR([Date]),"Month_num",MONTH([Date]),"Month",FORMAT([Date],"mmm"))Then we can create a measure.
Count2 = var _day= EOMONTH(DATE(MAX('DateSlicer'[Year]),MAX('DateSlicer'[Month_num]),1),0) var _a= COUNTROWS(FILTER(ALLSELECTED('Table'),'Table'[Customer Expiration Date]>=_day)) var _b= COUNTROWS(FILTER(ALLSELECTED('Table'),[Customer Expiration Date]=BLANK())) RETURN _a+_bAs of the last day of June 2024, there were six active users.
Best Regards,
Neeko Tang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
BloodBorne
2 years agoFrequent Visitor
Any help on this would be appreciated. Thanks